IBM Big Data Hub

JANUARY 9, 2024

These applications are designed to meet specific business needs by integrating proprietary data and help to ensure more accurate and relevant responses. For example, a global retail chain might adopt region-specific AI models that are trained on data, such as customer preferences and cultural nuances.

Data-driven 100

Data-driven Risk Marketing Modeling 100

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Testing 132

Testing Metadata Risk Data Science 132

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Data Science 105

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. Data Scientist-Driven Breakout Sessions.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning. It’s incredible,” he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. It requires a skilled data team, advanced tools, and enormous amounts of clean data from the right combination of inputs. The process of producing goods is an enormous opportunity for data optimization.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. It also owns Google’s internal time series forecasting platform described in an earlier blog post. Our team does a lot of forecasting. Our team does a lot of forecasting.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

Cloudera

AUGUST 31, 2020

With data at the heart of its business, SMG has for many years pursued the most cutting-edge data management technologies. As SMG continued to innovate, the scale, variety and velocity of data made its legacy warehouse environment show its limits. The case for a new Data Warehouse? Data-driven Proof of Concept.

Management 66

Management Slice and Dice Data Warehouse Analytics 66

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. A successful AI strategy should act as a roadmap for this plan.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. On June 18th, Cloudera provided an exclusive preview of these capabilities, and more, with the introduction of Cloudera Data Platform (CDP), the industry’s first enterprise data cloud. Cloudera Data Platform. First-of-its-kind enterprise data cloud.

Enterprise 87

Enterprise Machine Learning Recreation/Entertainment IoT 87

datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. Read on to see why data reports matter and our top data reporting tips.

Reporting 127

Reporting Visualization Dashboards KPI 127

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. What if we could use this data to focus our resources and deliver better products? Using Sentiment Analytics to Inform New Product Design Decisions.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Data-driven Forecasting 75

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

Smarten

MAY 22, 2025

Fact-Based Analytics and Citizen Data Scientists = Results So, you want your business users to embrace and use analytics? Gartner has predicted that, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations. And that is the good news.

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IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

IBM Big Data Hub

NOVEMBER 8, 2023

We are expanding IBM Db2 Warehouse on Power with a new Base Rack Express at a 30% lower entry list price, adding to today’s S, M and L configurations, while still providing the same total-solution experience, including Db2 Data Warehouse’s connectivity with watsonx.data to unlock the potential of data for analytics and AI.

Data-driven 93

Data-driven Data Warehouse Strategy Cost-Benefit 93

DataRobot

SEPTEMBER 14, 2021

To provide the ability to integrate diverse data sources. We’re building a platform for all users: data scientists, analytics experts, business users, and IT. Data From Any Source, Any Type. We recognize that today’s reality for many organizations is a disconnected landscape of disparate data sources and formats.

Unstructured Data 52

Unstructured Data Data-driven Data Processing Machine Learning 52

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. AI for Business.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

JUNE 12, 2019

At Sisense, our mission is to empower users of all kinds with deep insights from even the most complex data. I spoke about developing a comprehensive and impactful AI strategy and our AI roadmap for the coming year. Stay tuned for more blogs by me as we roll these capabilities out!). Living in a World of Big Data.

Analytics 75

Analytics Data-driven Dashboards IoT 75

IBM Big Data Hub

APRIL 18, 2023

These include computer vision and sound recognition systems that help automate curation and editing of exciting moments in sports; systems that extract summaries or factoids from vast amounts of structured and unstructured natural language data; and systems that forecast and predict player performance and winners.

Recreation/Entertainment 72

Recreation/Entertainment Broadcasting Unstructured Data Consulting 72

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Machine Learning Consulting 78

CDW Research Hub

DECEMBER 4, 2019

There are many benefits of using a cloud-based data warehouse, and the market for cloud-based data warehouses is growing as organizations realize the value of making the switch from an on-premises data warehouse. It operates as a consistent data management framework to manage, move and protect data across disparate sources.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

Sisense

JULY 22, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. SBA: What are some trends you see in BI and analytics that Sisense is responding to and are helping drive Sisense’s roadmap?

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces.

Advertising 68

Advertising Machine Learning Data Architecture Cost-Benefit 68

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Then Alation came along.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

IBM Big Data Hub

APRIL 11, 2023

We continued working with The Climate Registry to support the development of the recently launched Net-Zero Portal, and the UN Science-Policy-Business Forum on the Environment to demonstrate how data and advanced information technology can underpin new solutions to persistent environmental problems.

Snapshot 57

Snapshot Reporting Business Objectives Software 57

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Data engineering. How can we better tailor our new products?

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

Smarten

APRIL 19, 2024

But before we dive into the future of AI, let’s define a few terms: Generative Artificial Intelligence (AI) – A branch of computer science, involving unsupervised and semi-supervised algorithms that allow a system to create content in response to prompts, by repurposing and translating content from text, audio, images and code.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Smarten

DECEMBER 3, 2023

Look for a full suite of products and modules, including self-serve data preparation , assisted predictive modeling , smart data visualization , and a product that is built on a natural language processing (NLP) foundation for easy NLP searching. The augmented analytics market is large, and there are many products available.

Analytics 40

Analytics Predictive Modeling Cost-Benefit Visualization 40

Alation

SEPTEMBER 6, 2022

Ten years ago, there was no modern data catalog. In 8 years, Michael has held six titles, and played essential roles in developing the product UI, as well as the data-driven culture thriving in the engineering department today. The problem with that is you’re going through massive amounts of data. Take GenBank for example.

Data-driven 52

Data-driven Software Testing Data Warehouse 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program? Establishing a solid vision and mission is key.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Data Science 101

JANUARY 19, 2021

Get Yourself a copy of Deb’s latest book, Your Goal Guide: A Roadmap for setting, planning, and achieving your goals. 34:15 Is 2021 too late to start a blog? Start a Blog, Start and Podcast, You can do it! Alright, so here is, here’s what I’m working on setting up I I was a Blogger in data science for years.

Recreation/Entertainment 98

Recreation/Entertainment IT Data Science Management 98

Cloudera

DECEMBER 12, 2022

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. Pat isn’t the only analyst talking hybrid and multi-cloud for data management, although he may be the most entertaining. Some do multi-cloud, but not hybrid and not really data management.

Recreation/Entertainment 95

Recreation/Entertainment Insurance Metadata Digital Transformation 95

datapine

DECEMBER 28, 2021

Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Here they speak about two use-cases in which COVID-19 data was used in a misleading way.

Statistics 363

Statistics Advertising Visualization Data mining 363